Swarm-Optimization-Based Affective Product Design Illustrated by a Mobile Phone Case-Study
نویسنده
چکیده
This paper presents a new approach of useroriented design for transforming users’ perception into product elements design. An experimental study on mobile phones is conducted to examine how product form and product design parameters affect consumer’s perception of a product. The concept of Kansei Engineering is used to extract the experimental samples as a data base for neural networks (NNs) with particle swarm optimization (PSO) analysis. The result of numerical analysis suggests that mobile phone makers need to focus on particular design parameters to attract specific target user groups, in addition to product forms. This paper demonstrates the advantage of using KE-PSO for determining the optimal combination of product design parameters. Based on the analysis, we can use KE-PSO to suggest customers’ preferences for mobile phone design attributes that would be considered optimal by various user groups of all surveyed. They can be used for improvement and development of new future products.
منابع مشابه
Microsoft Word - CONTENTS-AUGUST07
An optimization approach for suggesting product design parameters based on emotive responses is proposed that combines Kansei techniques and particle swarm optimization algorithm (PSO). The approach involves designing a Kansei survey for collecting data on customers’ affective responses to various aspects of a product, using several exemplars of the product. After information gathering, the PSO...
متن کاملAn intelligent swarm based-wavelet neural network for affective mobile phone design
In this paper, an intelligent swarm based-wavelet neural network for affective mobile designed is presented. The contribution on this paper is to develop a new intelligent particle swarm optimization (iPSO), where a fuzzy logic system developed based on human knowledge is proposed to determine the inertia weight for the swarm movement of PSO and the control parameter of a newly introduced cross...
متن کاملRough set and PSO-based ANFIS approaches to modeling customer satisfaction for affective product design
28 Facing fierce competition in marketplaces, companies try to determine the optimal settings of design 29 attribute of new products from which the best customer satisfaction can be obtained. To determine 30 the settings, customer satisfaction models relating affective responses of customers to design attributes 31 have to be first developed. Adaptive neuro-fuzzy inference systems (ANFIS) was a...
متن کاملA Tunable Swarm-Optimization-Based Approach for Affective Product Design
An approach for affective product design using a hybrid of tunable particle swarm optimization (PSO) and Kansei engineering is proposed. Customers’ emotive responses to a product are collected using a questionnaire designed on Kansei engineering principles. They are used to create models which can suggest design parameters for the product that may implicitly embody customers’ emotional preferen...
متن کاملConstructing a hybrid Kansei engineering system based on multiple affective responses: Application to product form design
This study proposes an expert system, which is called the hybrid Kansei engineering system (HKES) based on multiple affective responses (MARs), to facilitate the development of product form design. An HKES is consists of two sub-systems, namely the forward Kansei engineering system (FKES) and the backward Kansei engineering system (BKES). The FKES is utilized to generate product alternatives an...
متن کامل